import intake
import ciofs_hindcast_report as chr
import hvplot.pandas  # noqa
import ocean_model_skill_assessor as omsa
import pandas as pd

Single CTD profiles across Cook Inlet#

  • CTD profiles - USGS BOEM

  • ctd_profiles_usgs_boem

  • One-off CTD profiles from 2016 to 2021 in July

USGS Cook Inlet fish and bird survey CTD profiles.

CTD profiles collected in Cook Inlet from 2016-2021 by Mayumi Arimitsu as part of BOEM sponsored research on fish and bird distributions in Cook Inlet. The profiles are collected in July for the years 2016-2021.

The scientific project is described here: https://www.usgs.gov/centers/alaska-science-center/science/cook-inlet-seabird-and-forage-fish-study#overview.

cat = intake.open_catalog(chr.CAT_NAME("ctd_profiles_usgs_boem"))

Map of CTD Profiles#

getattr(chr.src.plot_dataset_on_map, "ctd_profiles_usgs_boem")("ctd_profiles_usgs_boem")
../../../_images/689c9f8ede2604af80e2a7d66ccc8735373067e8eddda1df9acd18f7b1dab843.png ../../../_images/2ffc616022460aee86daac8007dacdc7a0b411a26d25cb8fc9ed5aafd539851f.png ../../../_images/1fdaa21f0a31398b5db3d7622b50a65ed56214322fafbc8a98d1533af6b0e0cd.png ../../../_images/f7d531cf4590aa8d6174a8ed70ce7e062d95d01dd6aabf0ee45d5cb8440a8fb6.png ../../../_images/7d6b31915bb50a6efb348d24768978daa7cf9decee5528f04495bbf7620af627.png

2016#

2016102001

cat['2016102001'].plot.data()

2016106001

cat['2016106001'].plot.data()

2016120001

cat['2016120001'].plot.data()

2016122201

cat['2016122201'].plot.data()

2016123001

cat['2016123001'].plot.data()

2016123002

cat['2016123002'].plot.data()

2016125001

cat['2016125001'].plot.data()

2016126001

cat['2016126001'].plot.data()

2016126002

cat['2016126002'].plot.data()

2016205701

cat['2016205701'].plot.data()

2016206001

cat['2016206001'].plot.data()

2016221001

cat['2016221001'].plot.data()

2016223001

cat['2016223001'].plot.data()

2016223002

cat['2016223002'].plot.data()

2016224001

cat['2016224001'].plot.data()

2016225001

cat['2016225001'].plot.data()

2016226001

cat['2016226001'].plot.data()

2017#

2017101001

cat['2017101001'].plot.data()

2017103001

cat['2017103001'].plot.data()

2017120001

cat['2017120001'].plot.data()

2017122001

cat['2017122001'].plot.data()

2017123001

cat['2017123001'].plot.data()

2017124001

cat['2017124001'].plot.data()

2017125001

cat['2017125001'].plot.data()

2017125002

cat['2017125002'].plot.data()

2017201001

cat['2017201001'].plot.data()

2017204001

cat['2017204001'].plot.data()

2017205001

cat['2017205001'].plot.data()

2017206001

cat['2017206001'].plot.data()

2017207001

cat['2017207001'].plot.data()

2017212001

cat['2017212001'].plot.data()

2017214001

cat['2017214001'].plot.data()

2017220001

cat['2017220001'].plot.data()

2017223001

cat['2017223001'].plot.data()

2017224001

cat['2017224001'].plot.data()

2017225001

cat['2017225001'].plot.data()

2018#

2018104001

cat['2018104001'].plot.data()

2018120001

cat['2018120001'].plot.data()

2018121001

cat['2018121001'].plot.data()

2018122001

cat['2018122001'].plot.data()

2018123001

cat['2018123001'].plot.data()

2018124001

cat['2018124001'].plot.data()

2018125001

cat['2018125001'].plot.data()

2018126001

cat['2018126001'].plot.data()

2018203001

cat['2018203001'].plot.data()

2018203002

cat['2018203002'].plot.data()

2018205001

cat['2018205001'].plot.data()

2018208001

cat['2018208001'].plot.data()

2018214002

cat['2018214002'].plot.data()

2018221001

cat['2018221001'].plot.data()

2018223001

cat['2018223001'].plot.data()

2018223002

cat['2018223002'].plot.data()

2018225001

cat['2018225001'].plot.data()

2019#

2019106001

cat['2019106001'].plot.data()

2019121001

cat['2019121001'].plot.data()

2019122001

cat['2019122001'].plot.data()

2019123001

cat['2019123001'].plot.data()

2019125001

cat['2019125001'].plot.data()

2019126001

cat['2019126001'].plot.data()

2019205001

cat['2019205001'].plot.data()

2019210001

cat['2019210001'].plot.data()

2019221001

cat['2019221001'].plot.data()

2019223001

cat['2019223001'].plot.data()

2019223002

cat['2019223002'].plot.data()

2019226001

cat['2019226001'].plot.data()

2021#

2021105001

cat['2021105001'].plot.data()

2021122001

cat['2021122001'].plot.data()

2021123001

cat['2021123001'].plot.data()

2021124001

cat['2021124001'].plot.data()

2021125001

cat['2021125001'].plot.data()

2021126001

cat['2021126001'].plot.data()

2021205001

cat['2021205001'].plot.data()

2021210001

cat['2021210001'].plot.data()

2021221001

cat['2021221001'].plot.data()

2021223001

cat['2021223001'].plot.data()

2021223002

cat['2021223002'].plot.data()

2021224001

cat['2021224001'].plot.data()

2021226001

cat['2021226001'].plot.data()